Bump version to v2.18.0 (#6365)

* Bump version to v2.18.0

* update

* update

* Update changelog.md

* update

* resolve comments

* Update compatibility.md

README.md

@@ -13,10 +13,10 @@
   <img src="https://user-images.githubusercontent.com/12907710/137271636-56ba1cd2-b110-4812-8221-b4c120320aa9.png"/>
 
 
-[📘Documentation](https://mmdetection.readthedocs.io/en/v2.17.0/) |
-[🛠️Installation](https://mmdetection.readthedocs.io/en/v2.17.0/get_started.html) |
-[👀Model Zoo](https://mmdetection.readthedocs.io/zh_CN/v2.17.0/model_zoo.html) |
-[🆕Update News](https://mmdetection.readthedocs.io/en/v2.17.0/changelog.html) |
+[📘Documentation](https://mmdetection.readthedocs.io/en/v2.18.0/) |
+[🛠️Installation](https://mmdetection.readthedocs.io/en/v2.18.0/get_started.html) |
+[👀Model Zoo](https://mmdetection.readthedocs.io/zh_CN/v2.18.0/model_zoo.html) |
+[🆕Update News](https://mmdetection.readthedocs.io/en/v2.18.0/changelog.html) |
 [🚀Ongoing Projects](https://github.com/open-mmlab/mmdetection/projects) |
 [🤔Reporting Issues](https://github.com/open-mmlab/mmdetection/issues/new/choose)
 
@@ -60,10 +60,10 @@ This project is released under the [Apache 2.0 license](LICENSE).
 
 ## Changelog
 
-**2.17.0** was released in 28/09/2021:
-- Support PVT, PVTv2 and SOLO.
-- Support large scale jittering and New Mask R-CNN baselines.
-- Speed up YOLOv3 inference.
+**2.18.0** was released in 27/10/2021:
+- Support [QueryInst](http://arxiv.org/abs/2105.01928).
+- Refactor dense_head to decouple onnx export from get_bboxes and speed up inference time.
+- Support infinite sampler to accelerate training when using iter based runner.
 
 Please refer to [changelog.md](docs/changelog.md) for details and release history.
 

README_zh-CN.md

@@ -13,10 +13,10 @@
   <img src="https://user-images.githubusercontent.com/12907710/137271636-56ba1cd2-b110-4812-8221-b4c120320aa9.png"/>
 
 
-[📘使用文档](https://mmdetection.readthedocs.io/zh_CN/v2.17.0/) |
-[🛠️安装教程](https://mmdetection.readthedocs.io/zh_CN/v2.17.0/get_started.html) |
-[👀模型库](https://mmdetection.readthedocs.io/zh_CN/v2.17.0/model_zoo.html) |
-[🆕更新日志](https://mmdetection.readthedocs.io/en/v2.17.0/changelog.html) |
+[📘使用文档](https://mmdetection.readthedocs.io/zh_CN/v2.18.0/) |
+[🛠️安装教程](https://mmdetection.readthedocs.io/zh_CN/v2.18.0/get_started.html) |
+[👀模型库](https://mmdetection.readthedocs.io/zh_CN/v2.18.0/model_zoo.html) |
+[🆕更新日志](https://mmdetection.readthedocs.io/en/v2.18.0/changelog.html) |
 [🚀进行中的项目](https://github.com/open-mmlab/mmdetection/projects) |
 [🤔报告问题](https://github.com/open-mmlab/mmdetection/issues/new/choose)
 
@@ -59,10 +59,10 @@ MMDetection 是一个基于 PyTorch 的目标检测开源工具箱。它是 [Ope
 
 ## 更新日志
 
-最新的 **2.17.0** 版本已经在2021.09.28发布:
-- 支持了 PVT, PVTv2 and SOLO。
-- 支持了 large scale jittering 并且增加了新的 Mask R-CNN 基线模型。
-- 提升 YOLOv3 的推理速度。
+最新的 **2.18.0** 版本已经在2021.10.27发布:
+- 支持 [QueryInst](http://arxiv.org/abs/2105.01928)。
+- 重构 dense_head 以将 onnx 导出与 get_bboxes 解耦并加快推理时间。
+- 支持 infinite sampler 加速 iter based runner 训练。
 
 如果想了解更多版本更新细节和历史信息，请阅读[更新日志](docs/changelog.md)。
 

docker/serve/Dockerfile

@@ -4,7 +4,7 @@ ARG CUDNN="7"
 FROM pytorch/pytorch:${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel
 
 ARG MMCV="1.3.14"
-ARG MMDET="2.17.0"
+ARG MMDET="2.18.0"
 
 ENV PYTHONUNBUFFERED TRUE
 

docs/changelog.md

@@ -1,5 +1,54 @@
 ## Changelog
 
+### v2.18.0 (27/10/2021)
+
+#### Highlights
+
+- Support [QueryInst](http://arxiv.org/abs/2105.01928) (#6050)
+- Refactor dense heads to decouple onnx export logics from `get_bboxes` and speed up inference (#5317, #6003, #6369, #6268, #6315)
+
+#### New Features
+
+- Support [QueryInst](http://arxiv.org/abs/2105.01928) (#6050)
+- Support infinite sampler (#5996)
+
+#### Bug Fixes
+
+- Fix init_weight in fcn_mask_head (#6378)
+- Fix type error in imshow_bboxes of RPN (#6386)
+- Fix broken colab link in MMDetection Tutorial (#6382)
+- Make sure the device and dtype of scale_factor are the same as bboxes (#6374)
+- Remove sampling hardcode (#6317)
+- Fix RandomAffine bbox coordinate recorrection (#6293)
+- Fix init bug of final cls/reg layer in convfc head (#6279)
+- Fix img_shape broken in auto_augment (#6259)
+- Fix kwargs parameter missing error in two_stage (#6256)
+
+#### Improvements
+
+- Unify the interface of stuff head and panoptic head (#6308)
+- Polish readme (#6243)
+- Add code-spell pre-commit hook and fix a typo (#6306)
+- Fix typo (#6245, #6190)
+- Fix sampler unit test (#6284)
+- Fix `forward_dummy` of YOLACT to enable `get_flops` (#6079)
+- Fix link error in the config documentation (#6252)
+- Adjust the order to beautify the document (#6195)
+
+#### Refactors
+
+- Refactor one-stage get_bboxes logic (#5317)
+- Refactor ONNX export of One-Stage models (#6003, #6369)
+- Refactor dense_head and speedup (#6268)
+- Migrate to use prior_generator in training of dense heads (#6315)
+
+#### Contributors
+
+A total of 18 developers contributed to this release.
+Thanks @Boyden, @onnkeat, @st9007a, @vealocia, @yhcao6, @DapangpangX, @yellowdolphin, @cclauss, @kennymckormick,
+@pingguokiller, @collinzrj, @AndreaPi, @AronLin, @BIGWangYuDong, @hhaAndroid, @jshilong, @RangiLyu, @ZwwWayne
+
+
 ### v2.17.0 (28/9/2021)
 
 #### Highlights

docs/compatibility.md

@@ -1,5 +1,11 @@
 # Compatibility of MMDetection 2.x
 
+## MMDetection 2.18.0
+
+### DIIHead compatibility
+
+In order to support QueryInst, attn_feats is added into the returned tuple of DIIHead.
+
 ## MMDetection 2.14.0
 
 ### MMCV Version

docs/get_started.md

@@ -11,8 +11,9 @@ Compatible MMDetection and MMCV versions are shown as below. Please install the
 
 | MMDetection version |    MMCV version     |
 |:-------------------:|:-------------------:|
-| master              | mmcv-full>=1.3.8, <1.4.0 |
-| 2.17.0              | mmcv-full>=1.3.8, <1.4.0 |
+| master              | mmcv-full>=1.3.14, <1.4.0 |
+| 2.18.0              | mmcv-full>=1.3.14, <1.4.0 |
+| 2.17.0              | mmcv-full>=1.3.14, <1.4.0 |
 | 2.16.0              | mmcv-full>=1.3.8, <1.4.0 |
 | 2.15.1              | mmcv-full>=1.3.8, <1.4.0 |
 | 2.15.0              | mmcv-full>=1.3.8, <1.4.0 |

docs_zh-CN/compatibility.md

@@ -1,5 +1,11 @@
 # MMDetection v2.x 兼容性说明
 
+## MMDetection 2.18.0
+
+### DIIHead 兼容性
+
+为了支持 QueryInst，在 DIIHead 的返回元组中加入了 attn_feats。
+
 ## MMDetection v2.14.0
 
 ### MMCV 版本

docs_zh-CN/get_started.md

@@ -11,7 +11,12 @@ MMDetection 和 MMCV 版本兼容性如下所示，需要安装正确的 MMCV
 
 | MMDetection 版本 |        MMCV 版本         |
 | :--------------: | :----------------------: |
-|      master      | mmcv-full>=1.3.8, <1.4.0 |
+|      master      | mmcv-full>=1.3.14, <1.4.0 |
+|      2.18.0      | mmcv-full>=1.3.14, <1.4.0 |
+|      2.17.0      | mmcv-full>=1.3.14, <1.4.0 |
+|      2.16.0      | mmcv-full>=1.3.8, <1.4.0 |
+|      2.15.1      | mmcv-full>=1.3.8, <1.4.0 |
+|      2.15.0      | mmcv-full>=1.3.8, <1.4.0 |
 |      2.14.0      | mmcv-full>=1.3.8, <1.4.0 |
 |      2.13.0      | mmcv-full>=1.3.3, <1.4.0 |
 |      2.12.0      | mmcv-full>=1.3.3, <1.4.0 |

mmdet/version.py

@@ -1,6 +1,6 @@
 # Copyright (c) OpenMMLab. All rights reserved.
 
-__version__ = '2.17.0'
+__version__ = '2.18.0'
 short_version = __version__